Computer Science

In recent years, rotary-wing unmanned aerial vehicles have been used in many areas. Rotary wing unmanned aerial vehicle (UAV) can carry different payloads according to their duties. For example; if they carry cameras, they are used for reconnaissance / surveillance, cargo if they carry cargo, agriculture if they carry pesticides, mapping if they carry an advanced camera and mapping system, and communication if they carry a base station or relay. Rotary-wing unmanned aerial vehicles are usually commanded to take off manually by a trained UAV operator. Before takeoff, the rotary-wing unmanned aerial vehicle is prepared for take-off by the UAV operator and this preparation takes approximately five minutes. It takes time for rotary-wing unmanned aerial vehicles to take off from the runway and reach their cruising speed, causing time loss in critical areas. A rotary-wing unmanned aerial vehicle launch assembly and a rotary-wing unmanned aerial vehicle with an opening mechanism that can open the thrust arms after launch and continue to fly can be the solution to this time loss. Rotary-wing drones capable of launching and without the intervention of the UAV operator will play an important role in emergency response and defense, where situational awareness is often required. For example; firefighters responding to fires can take advantage of the ability to quickly launch rotary-wing unmanned aerial vehicles from a stationary or moving fire truck. Thanks to the day / thermal camera on the launched rotary wing unmanned aerial vehicles, valuable information can be obtained about the progress of the fire and the damage caused by the fire. Thanks to rapid awareness, the fire can be intervened and fought faster. Similarly, military personnel can quickly deploy launchable rotary-wing drones for reconnaissance and surveillance and perform their duties. In order to be applicable to various types of missions, it is important that the rotary wing unmanned aerial vehicle be portable and low in volume. Since the launchable rotary-wing unmanned aerial vehicle proposed in the thesis has an arm release mechanism after launch, it can automatically open and generate thrust after launching its arms. In this way, it helps lower volume coverage before being launched. This also reduces air friction during launch. It can be deployed to autonomous systems effortlessly as it has closed package, mobile and self-arm management. Different mechanisms will be studied to create an efficient design. A mechanism that allows it to open its arms in a short time will be used in the self-arm-opening management design. Throwable rotary wing unmanned aerial vehicle and launch mechanism will be designed and 3D printers will be used for prototype.

Turkey has a young population. Accordingly, 66849 schools are serving under the Ministry of National Education. This amount of school naturally causes large amounts of electrical energy demand. Supporting even a small part of these schools with renewable energy sources will provide enormous economic and environmental contributions. Moreover, school buildings often share a template architecture, so a design can be reused, with some modifications over and over again. In this study, the PVsyst software is used to design a 9.9 kWp, roof-mounted, and grid-connected photovoltaic system. The technical and economic consequences of the study are widely reported within. IEC 61724 standards, which is a framework solar industry standard, is applied. Depending on the results, the system can generate 13.13 MWh of electricity annually, 6.43 MWh of which the consumer uses, and 6.70 MWh could be sold to the network. Selling electricity is limited by legislative regulations. But the demand for energy is a fact that never changes. As a result, PV cell efficiency is 17.09 %, and total system loss was approximately 26.18 %. The project cost was calculated as roughly $9912 in the year 2020, based on current prices for a standard system. Total economic earnings from sales are determined as approximately $1375. The return period of the investment was calculated as five years. It is anticipated that the engineering practice carried out in this study will prevent 8 tons of CO2 emissions annually and will save approximately 25 trees per year. It is recommended that this study be put into practice and disseminated.

Mobile robots are being used more frequently in healthcare environments to tackle a variety of issues, such as patient monitoring, drug administration, and support for healthcare professionals. However, considering how nascent the topic of deploying mobile robots in healthcare is, there hasn’t been much investigation into the potential benefits and drawbacks of doing so. The goal of this research study is to examine the current state of mobile robots in healthcare, the opportunities they present for enhancing patient care, and the difficulties that must be solved to take advantage of these advantages, including safety concerns, dependability and accuracy issues, and cost effectiveness issues. We identify critical elements that support the successful integration of mobile robots into healthcare environments, as well as potential drawbacks and ethical concerns such as patient privacy, informed consent, autonomy, and accountability related to their use, through a systematic review of the literature of mobile robot implementations in healthcare. Our results show the potential of mobile robots to enhance patient care by delivering more effective and efficient healthcare services, but they also emphasize the need for additional research and development to overcome the difficulties in integrating these robots into healthcare workflows. In the end, this research intends to provide a basis for future research and development in this fascinating and quickly developing sector, as well as to contribute to a better understanding of the opportunities and constraints connected with the use of mobile robots in healthcare.

Due to its high precision, productivity, and surface quality, computer numerical control turning (CNC) is a desirable processing tool in the traditional processing area. CNC machining procedures have a huge number of process parameters, making it challenging to find the best combination of parameters for increased accuracy. In this research work, the Taguchi method and ANOVA were used to study the effects of CNC machining parameters in EN8 steel turning: Surface roughness (Ra) value of component affected due to cutting speed, depth of cut and feed rate. Three-level three-parameter experimental design, using Minitab 17 software using L9 orthogonal array, using coated carbide insert cutting tools, using signal-to-noise ratio (S/N) to study the performance characteristics of EN8 steel turning. In this study, statistical approaches such as the signal-to-noise ratio (S/N ratio) and analysis of variance (ANOVA) were used to explore the effects of cutting speed, depth of cut, and feed rate on surface roughness. Nature-inspired algorithms play a vital role in solving real life. In this study, the bat algorithm can be used to predict the optimal surface value (Ra) and process parameters. Verify the results by conducting confirmation experiments. The current research shows that the feed rate is the most important factor affecting the surface roughness (Ra) of EN8 steel turning.